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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The role will be tasked with developing and maintaining our Application Hosting Infrastructure on Kubernetes in GCP. As a Platform Engineer, you will play a critical role in developing and maintaining our core application infrastructure that supports our business operations. You’ll be part of a small, focused team that prioritizes automation and security while engineering a robust platform for hosting internal applications. This position offers the chance to work with the latest technologies in an AI-forward environment, allowing you to contribute to impactful projects that drive our growth. What You Will Be Doing Design scalable infrastructure solutions that meet the demands of our core applications. Implement infrastructure as code practices to automate and streamline processes. Monitor system performance, optimize resources, and integrate cloud services while troubleshooting and resolving any infrastructure issues that arise. Implement CI/CD pipelines to streamline the software development lifecycle. Design and develop scalable build systems to ensure applications are delivered quickly and proficiently, matching the pace of business needs. Ensure compliance with security regulations and best practices to protect application infrastructure. Collaborate with Infosec and other engineering teams to implement effective incident response and CVE remediation processes. Collaborate with cross-functional teams to gather requirements for platform improvements. Provide technical support and guidance to internal users of the platform. Facilitate knowledge sharing sessions to educate team members on platform features and best practices. Analyze cloud spending patterns to ensure cost optimization and implement financial governance policies for cloud resources. Identify opportunities for cost savings while enhancing operational efficiency. Regularly assess application usage to eliminate unused resources and maintain a proficient environment. What You Bring Bachelor's degree in Computer Science or equivalent experience 5+ years with infrastructure as code tools like Terraform or Crossplane 5+ years with cloud service providers like AWS, Azure, or Google Cloud Kubernetes and Cloud Native Associate or equivalent certification Knowledge of service mesh architectures such as Istio or Linkerd Hands-on experience with cloud security practices and tools Experience with cost management tools for cloud infrastructure Led cross-functional initiatives that improved platform usability and performance based on user feedback Experience with Elasticsearch is a plus Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a Senior Application Engineer on our IT Team, you'll be instrumental in developing and implementing solutions that help us meet our business objectives with Xactly. We’re seeking a candidate who possesses strong technical expertise and enjoys working collaboratively, contributing to a culture of continuous improvement and innovation. If you're excited about making a real impact in a team-oriented setting, this could be the right fit for you. What You Will Be Doing: Build, maintain, and optimize Connect integration pipelines between source systems and Xactly. Partner with non-technical stakeholders (comp analysts, finance ops), Sales Compensation, Accounting, Sales, and IT to define data requirements. Troubleshoot and resolve data quality issues, failed Connect jobs, data mismatches, and pipeline errors before commission runs. Document pipeline configurations, field mappings, and transformation logic so the next developer doesn't have to reverse-engineer it. What You Bring 5+ years of hands-on Xactly Connect experience, specifically with data pipelines, transformations, and scheduling. Proficiency in Xactly Extend and Xactly CEA. Strong SQL skills for writing, optimizing, and troubleshooting queries, alongside familiarity with ETL concepts and flat-file/SFTP data exchange patterns. Experience with source system integrations such as SFDC, Workday, NetSuite, or similar CRM/HCM/ERP platforms. Strong attention to detail, recognizing that errors in comp data have a direct pay impact. Nice to Have: Xactly certification(s), knowledge of ICM/SPM processes (quota, territory, crediting, payment cycles), scripting experience (Python, PowerShell, or shell) for Connect job automation, and familiarity with data warehousing or BI tools (Snowflake, Tableau, etc. ). Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $94,300 — $149,200 USD The typical starting salary range for this role in the select locations listed above is: $113,300 — $179,200 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Elastic IT team is moving beyond simple chat to the next frontier: Agentic Workflows and Agent-to-Agent (A2A) Systems. We are looking for an innovative Agentic AI Engineer to join our team. You will build multi-agent ecosystems that are self-directed. These ecosystems will do more than just answer questions. They will collaborate, delegate tasks, and execute complex business processes across the organization. In this role, you will focus on large language models (LLMs), agent orchestration, and A2A integration frameworks to power our intelligent workforce. You will create workflows for multiple agents instead of just focusing on single-agent search or managing the stack. These workflows will enable the agents to communicate with each other, share information, access enterprise tools, and automate tasks from start to finish. Driven by a service-oriented mindset, you will empower internal teams with cutting-edge LLM capabilities while integrating seamlessly with enterprise systems. Are you ready to build the next generation of LLM-powered multi-agent systems that supercharge enterprise productivity? Join us to enable agent-to-agent workflows that turn collective knowledge into instant, coordinated action across Elastic. What You Will Be Doing A2A Architecture & Multi-Agent Orchestration: Design, build, and deploy agent-to-agent (A2A) communication architectures and workflows that enable autonomous agents to collaborate, delegate tasks, and negotiate multi-step business processes. LLM Integration & Tool Calling: Integrate advanced LLMs, both proprietary and open-source, with enterprise APIs. Use tool-calling methods. Connect with third-party SaaS applications for smooth operations. Enterprise Grounding & RAG: Use advanced Retrieval-Augmented Generation (RAG) techniques. Implement strategies that connect enterprise context by using search and vector storage engines. This will ensure that all inter-agent operations are highly accurate and reliable. Scalable Infrastructure & IaC: Provision and manage robust cloud environments (AWS, Azure, GCP) using Terraform to support the high-concurrency demands of LLM inferences and multi-agent coordination. DevOps & Lifecycle Management: Support modern DevOps practices. This includes creating CI/CD pipelines for automated testing, deployment, and versioning. You will also evaluate LLMs and agentic workflows regularly. A2A Security & Governance: Apply strict security and network fundamentals (VPC configurations, secure API gateways, encryption, and IAM controls) to secure inter-agent communication and protect sensitive enterprise data. LLM Observability & Evaluation: Create systems to monitor how multiple agents interact. These systems will help us check model accuracy. They will also help manage token spending and identify model drift or agent loops. Documentation: Keep detailed technical documents for LLM integration protocols. This includes A2A interaction flows and cloud infrastructure deployments. What You Bring LLM & GenAI Expertise: Deep experience integrating, fine-tuning, and optimizing foundation models (e.g., OpenAI, Anthropic, open-source models), including expertise in prompt engineering, tool calling, and structured outputs. Agent-to-Agent (A2A) Protocols: Proven success building multi-agent systems, inter-agent messaging pipelines, state management frameworks, and dynamic task delegation protocols. Agentic Frameworks: Hands-on experience with multi-agent orchestration frameworks such as LangGraph , LangChain , AutoGen , etc. along with tracing platforms like LangSmith . Market Trends & Interoperability: Strong understanding of emerging AI interoperability standards, such as the Model Context Protocol (MCP) and open multi-agent communication specifications. Programming: Advanced proficiency in Python or TypeScript for backend orchestration, agent memory systems, and API service development. Enterprise Grounding & Vector Search: Practical knowledge of RAG patterns, vector databases, hybrid search architectures, and context management strategies. DevOps & Infrastructure as Code (IaC): Hands-on experience with DevOps practices and infrastructure automation using Terraform, Docker, and Kubernetes for scalable AI deployments. Security & Network Fundamentals: Strong knowledge of secure cloud architectures, zero-trust network design, private endpoints, and identity management (OAuth, SAML, IAM) for secure A2A interactions. LLM Observability & Evaluation: Experience setting up observability frameworks (logging, distributed tracing, and metrics) to track non-deterministic multi-agent workflows, token costs, and LLM output quality. Enterprise AI Platform Knowledge: Knowledge of the broader agentic and workflow landscape (e.g., Workday A2A, Salesforce Agentforce, ServiceNow AI Agents). #LI-JM5 Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $94,300 — $149,200 USD The typical starting salary range for this role in the select locations listed above is: $113,300 — $179,200 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Network Engineer (VPN/VDI) who will take charge of designing, deploying, and managing our multi-cloud network and VDI infrastructure. In this role, you'll collaborate with engineering, security, and operations teams to drive automation and implement Zero Trust security, ensuring our systems remain reliable and scalable as we grow. If you enjoy building robust networks and making a real impact within an organization, this position offers a chance to do just that. What You Will Be Doing Design a robust multi-cloud network architecture that supports our growing infrastructure needs. Create detailed network diagrams and documentation to guide implementation. Evaluate and select the best networking technologies, while implementing and optimizing routing protocols for efficiency. Develop plans for network scalability and maintain our Meraki networks to ensure reliable performance. Assist in deploying VPN and VDI solutions within our multi-cloud environment. Support integration efforts among network components and facilitate training for junior engineers and support staff. Collaborate with cross-functional teams to ensure smooth implementation of network services and provide on-call support to resolve any issues that arise. Monitor network performance metrics to identify areas for improvement. Analyze traffic patterns to optimize resource allocation and enhance efficiency through performance tuning adjustments. Generate regular reports on performance and collaborate with engineering teams to resolve any performance-related challenges. Implement Zero Trust security principles throughout the network infrastructure to enhance security. Conduct regular security assessments and vulnerability scans to identify weaknesses. Work with security teams to define and implement comprehensive security policies. Deploy and manage effective network security tools and monitor network traffic for any suspicious activity, responding promptly to incidents. Diagnose and address network connectivity issues within the VPN and VDI infrastructure. Utilize network diagnostic tools to identify and address performance bottlenecks effectively . Collaborate with engineering teams to tackle complex technical problems and ensure all issues are logged in a ticketing system for timely resolution. Provide detailed documentation of troubleshooting processes for future reference. Maintain detailed documentation of network configurations and any changes made. Update architectural diagrams to accurately represent the current network topology and VDI setup. Develop standard operating procedures for network maintenance and troubleshooting, while managing a knowledge base with best practices and lessons learned. Oversee the design and deployment of VDI infrastructure tailored to meet organizational needs. Configure and manage VDI solutions to ensure optimal performance and a positive user experience. Integrate VDI systems with the existing network and implement user access controls to create secure environments. Conduct training sessions on VDI best practices and troubleshooting for team members. What You Bring 5+ years with network engineering in a multi-cloud environment 3+ years with VPN and VDI technologies Proficiency in designing multi-cloud network architecture Experience with Meraki network management Skilled in conducting security assessments and vulnerability scans Knowledge of network performance monitoring tools Ability to diagnose and address VPN connectivity issues Experience with performance tuning adjustments for networks Proficiency in managing VDI infrastructure and user access controls experience with maintaining Aviatrix Successful implementation of a complex multi-cloud network architecture Track record of optimizing VPN and VDI deployments for performance and reliability Demonstrated improvement in network security posture resulting from Zero Trust implementations Established best practices for network performance monitoring and reporting Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $94,300 — $149,200 USD The typical starting salary range for this role in the select locations listed above is: $113,300 — $179,200 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: As part of the Platform Engineering department, the SRE team is designing, building, scaling and maturing the multi-cloud platform for hosting internal and external services such as the Elastic Cloud Hosted and Serverless . We develop and extend new software and tools that support the rest of the infrastructure, so that we can rapidly deploy products from all corners of Elastic. We want your experience and recommendations to offer a truly exceptional customer experience! What you will be doing: Taking an engineering approach in leading technical initiatives for automating system engineering efforts to guarantee the reliability of the global Elastic infrastructure. . Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, tooling and automations. Using an inclusive approach at championing an environment focused on collaboration, operational excellence, and uplifting others. Responding to and preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation uses follow-the-sun model where everyone participates in it in (mostly) their working hours. What you bring: Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems with a SRE perspective. A background in software engineering to collaborate with engineers to expertly identify, implement and deliver solutions. An experience in public cloud and managed Kubernetes services is advantageous. Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable. Bonus Points: You don't need to have all of these items, but these represent the types of work you will do as a Site Reliability Engineer at Elastic. You have operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform You have built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it. You have written non-trivial programs in Golang or other programming languages. You have worked with containerized services (such as Docker.) You have proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying level of the organization. You have experience in system administration with professional skills in Linux on distributed systems at scale. You have diagnosed or designed, implemented and created solutions with the Elastic Stack. You are experienced in thriving in a self-organizing and sharing in a globally distributed team environment. You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 359 400 zł — 465 100 zł PLN Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: As part of the Platform Engineering department, the SRE team is designing, building, scaling and maturing the multi-cloud platform for hosting internal and external services such as the Elastic Cloud Hosted and Serverless . We develop and extend new software and tools that support the rest of the infrastructure, so that we can rapidly deploy products from all corners of Elastic. We want your experience and recommendations to offer a truly exceptional customer experience! What you will be doing: Taking an engineering approach in leading technical initiatives for automating system engineering efforts to guarantee the reliability of the global Elastic infrastructure. . Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, tooling and automations. Using an inclusive approach at championing an environment focused on collaboration, operational excellence, and uplifting others. Responding to and preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation uses follow-the-sun model where everyone participates in it in (mostly) their working hours. What you bring: Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems with a SRE perspective. A background in software engineering to collaborate with engineers to expertly identify, implement and deliver solutions. An experience in public cloud and managed Kubernetes services is advantageous. Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable. Bonus Points: You don't need to have all of these items, but these represent the types of work you will do as a Site Reliability Engineer at Elastic. You have operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform You have built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it. You have written non-trivial programs in Golang or other programming languages. You have worked with containerized services (such as Docker.) You have proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying level of the organization. You have experience in system administration with professional skills in Linux on distributed systems at scale. You have diagnosed or designed, implemented and created solutions with the Elastic Stack. You are experienced in thriving in a self-organizing and sharing in a globally distributed team environment. You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring. Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: As part of the Platform Engineering department, the SRE team is designing, building, scaling and maturing the multi-cloud platform for hosting internal and external services such as the Elastic Cloud Hosted and Serverless . We develop and extend new software and tools that support the rest of the infrastructure, so that we can rapidly deploy products from all corners of Elastic. We want your experience and recommendations to offer a truly exceptional customer experience! What you will be doing: Taking an engineering approach in leading technical initiatives for automating system engineering efforts to guarantee the reliability of the global Elastic infrastructure. . Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, tooling and automations. Using an inclusive approach at championing an environment focused on collaboration, operational excellence, and uplifting others. Responding to and preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation uses follow-the-sun model where everyone participates in it in (mostly) their working hours. What you bring: Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems with a SRE perspective. A background in software engineering to collaborate with engineers to expertly identify, implement and deliver solutions. An experience in public cloud and managed Kubernetes services is advantageous. Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable. Bonus Points: You don't need to have all of these items, but these represent the types of work you will do as a Site Reliability Engineer at Elastic. You have operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform You have built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it. You have written non-trivial programs in Golang or other programming languages. You have worked with containerized services (such as Docker.) You have proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying level of the organization. You have experience in system administration with professional skills in Linux on distributed systems at scale. You have diagnosed or designed, implemented and created solutions with the Elastic Stack. You are experienced in thriving in a self-organizing and sharing in a globally distributed team environment. You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €98.400 — €126.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: As part of the Platform Engineering department, the SRE team is designing, building, scaling and maturing the multi-cloud platform for hosting internal and external services such as the Elastic Cloud Hosted and Serverless . We develop and extend new software and tools that support the rest of the infrastructure, so that we can rapidly deploy products from all corners of Elastic. We want your experience and recommendations to offer a truly exceptional customer experience! What you will be doing: Taking an engineering approach in leading technical initiatives for automating system engineering efforts to guarantee the reliability of the global Elastic infrastructure. . Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, tooling and automations. Using an inclusive approach at championing an environment focused on collaboration, operational excellence, and uplifting others. Responding to and preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation uses follow-the-sun model where everyone participates in it in (mostly) their working hours. What you bring: Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems with a SRE perspective. A background in software engineering to collaborate with engineers to expertly identify, implement and deliver solutions. An experience in public cloud and managed Kubernetes services is advantageous. Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable. Bonus Points: You don't need to have all of these items, but these represent the types of work you will do as a Site Reliability Engineer at Elastic. You have operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform You have built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it. You have written non-trivial programs in Golang or other programming languages. You have worked with containerized services (such as Docker.) You have proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying level of the organization. You have experience in system administration with professional skills in Linux on distributed systems at scale. You have diagnosed or designed, implemented and created solutions with the Elastic Stack. You are experienced in thriving in a self-organizing and sharing in a globally distributed team environment. You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €71.200 — €92.400 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.